Yeni
#smrgKİTABEVİ AI-Assisted Language Teaching Theory Practice and Classroom Implementation - 2025
Editör:
Kondisyon:
Yeni
Sunuş / Önsöz / Sonsöz / Giriş:
Basıldığı Matbaa:
Dizi Adı:
ISBN-10:
9786253754150
Kargoya Teslim Süresi:
3&7
Hazırlayan:
Cilt:
Amerikan Cilt
Boyut:
14x21
Sayfa Sayısı:
101
Basım Yeri:
Ankara
Baskı:
1
Basım Tarihi:
2025
Kapak Türü:
Karton Kapak
Kağıt Türü:
1. Hamur
Dili:
İngilizce
Kategori:
indirimli
170,00
Havale/EFT ile:
163,22
Siparişiniz 3&7 iş günü arasında kargoda
1199239998
627181
https://www.simurgkitabevi.com/ai-assisted-language-teaching-theory-practice-and-classroom-implementation-2025
AI-Assisted Language Teaching Theory Practice and Classroom Implementation - 2025 #smrgKİTABEVİ
170.00
CHAPTER 1
FOUNDATIONS OF AI IN ENGLISH LANGUAGE TEACHING (ELT)
1.1 What is Artificial Intelligence?
1.1.1 Definitions and Key Concepts
1.1.2 Types of AI
1.2 AI Technologies in Language Learning
1.2.1 Natural Language Processing (NLP)
1.2.2 Machine Learning and Adaptive Learning Systems
1.2.3 Speech Recognition and Speech Synthesis
1.2.4 Chatbots and Virtual Assistants in Language Learning
1.3 Theoretical Foundations of AI in Language Learning
1.3.1 SLA Theories and AI
1.3.2 AI and Personalized Learning Pathways
CHAPTER 2
PRACTICAL APPLICATIONS OF AI IN ENGLISH
LANGUAGE CLASSROOMS
2.1 Personalized Learning Environments
2.2 Automated Assessment and Feedback
2.3 AI-Powered Language Practice Tools
2.4.1 Overview of AI Tools for Teachers and Their Classroom Uses
2.5 Classroom Management and Administration
2.4 AI in Content Creation and Lesson Plannin
CHAPTER 3
CASE STUDIES AND REAL-WORLD EXAMPLES
3.1 Successful Implementations
3.1.1 Case Study 1: AI in a High School English Class
3.1.2 Case Study 2: AI in a University ESL Program
3.2 Lessons Learned
3.2.1 Best Practices for AI Implementation
3.2.2 Common Pitfalls and Challenges
3.2.3 Ethical Considerations in AI-Powered Language Learning
3.3 Teacher and Student Perspectives
3.3.1 Educator Perspectives
3.3.2 Student Perspectives
3.3.3 Balancing AI and Traditional Teaching
CHAPTER 4
CHALLENGES AND ETHICAL CONSIDERATIONS IN AIASSISTED LANGUAGE LEARNING
4.1 Technical Challenges in AI Integration
4.1.1 System Compatibility and Infrastructure Issues
4.1.2 Reliability and Accuracy of AI Tools
4.2 Ethical Considerations in AI-Driven Language Learning
4.2.1 Data Privacy and Security
4.2.2 Bias and Fairness in AI Algorithms
4.3 Access and Equity in AI-Assisted Language Learning
4.3.1 The Digital Divide
4.3.2 Inclusive AI for Students with Disabilities
4.4 Teacher Readiness and AI Training
4.4.1 Professional Development for Educators
4.4.2 Overcoming Resistance to AI Adoption
4.5 Future Directions and Policy Considerations
4.5.1 Ethical AI Development
4.5.2 The Role of Policymakers and Institutions
REFERENCES
FOUNDATIONS OF AI IN ENGLISH LANGUAGE TEACHING (ELT)
1.1 What is Artificial Intelligence?
1.1.1 Definitions and Key Concepts
1.1.2 Types of AI
1.2 AI Technologies in Language Learning
1.2.1 Natural Language Processing (NLP)
1.2.2 Machine Learning and Adaptive Learning Systems
1.2.3 Speech Recognition and Speech Synthesis
1.2.4 Chatbots and Virtual Assistants in Language Learning
1.3 Theoretical Foundations of AI in Language Learning
1.3.1 SLA Theories and AI
1.3.2 AI and Personalized Learning Pathways
CHAPTER 2
PRACTICAL APPLICATIONS OF AI IN ENGLISH
LANGUAGE CLASSROOMS
2.1 Personalized Learning Environments
2.2 Automated Assessment and Feedback
2.3 AI-Powered Language Practice Tools
2.4.1 Overview of AI Tools for Teachers and Their Classroom Uses
2.5 Classroom Management and Administration
2.4 AI in Content Creation and Lesson Plannin
CHAPTER 3
CASE STUDIES AND REAL-WORLD EXAMPLES
3.1 Successful Implementations
3.1.1 Case Study 1: AI in a High School English Class
3.1.2 Case Study 2: AI in a University ESL Program
3.2 Lessons Learned
3.2.1 Best Practices for AI Implementation
3.2.2 Common Pitfalls and Challenges
3.2.3 Ethical Considerations in AI-Powered Language Learning
3.3 Teacher and Student Perspectives
3.3.1 Educator Perspectives
3.3.2 Student Perspectives
3.3.3 Balancing AI and Traditional Teaching
CHAPTER 4
CHALLENGES AND ETHICAL CONSIDERATIONS IN AIASSISTED LANGUAGE LEARNING
4.1 Technical Challenges in AI Integration
4.1.1 System Compatibility and Infrastructure Issues
4.1.2 Reliability and Accuracy of AI Tools
4.2 Ethical Considerations in AI-Driven Language Learning
4.2.1 Data Privacy and Security
4.2.2 Bias and Fairness in AI Algorithms
4.3 Access and Equity in AI-Assisted Language Learning
4.3.1 The Digital Divide
4.3.2 Inclusive AI for Students with Disabilities
4.4 Teacher Readiness and AI Training
4.4.1 Professional Development for Educators
4.4.2 Overcoming Resistance to AI Adoption
4.5 Future Directions and Policy Considerations
4.5.1 Ethical AI Development
4.5.2 The Role of Policymakers and Institutions
REFERENCES
CHAPTER 1
FOUNDATIONS OF AI IN ENGLISH LANGUAGE TEACHING (ELT)
1.1 What is Artificial Intelligence?
1.1.1 Definitions and Key Concepts
1.1.2 Types of AI
1.2 AI Technologies in Language Learning
1.2.1 Natural Language Processing (NLP)
1.2.2 Machine Learning and Adaptive Learning Systems
1.2.3 Speech Recognition and Speech Synthesis
1.2.4 Chatbots and Virtual Assistants in Language Learning
1.3 Theoretical Foundations of AI in Language Learning
1.3.1 SLA Theories and AI
1.3.2 AI and Personalized Learning Pathways
CHAPTER 2
PRACTICAL APPLICATIONS OF AI IN ENGLISH
LANGUAGE CLASSROOMS
2.1 Personalized Learning Environments
2.2 Automated Assessment and Feedback
2.3 AI-Powered Language Practice Tools
2.4.1 Overview of AI Tools for Teachers and Their Classroom Uses
2.5 Classroom Management and Administration
2.4 AI in Content Creation and Lesson Plannin
CHAPTER 3
CASE STUDIES AND REAL-WORLD EXAMPLES
3.1 Successful Implementations
3.1.1 Case Study 1: AI in a High School English Class
3.1.2 Case Study 2: AI in a University ESL Program
3.2 Lessons Learned
3.2.1 Best Practices for AI Implementation
3.2.2 Common Pitfalls and Challenges
3.2.3 Ethical Considerations in AI-Powered Language Learning
3.3 Teacher and Student Perspectives
3.3.1 Educator Perspectives
3.3.2 Student Perspectives
3.3.3 Balancing AI and Traditional Teaching
CHAPTER 4
CHALLENGES AND ETHICAL CONSIDERATIONS IN AIASSISTED LANGUAGE LEARNING
4.1 Technical Challenges in AI Integration
4.1.1 System Compatibility and Infrastructure Issues
4.1.2 Reliability and Accuracy of AI Tools
4.2 Ethical Considerations in AI-Driven Language Learning
4.2.1 Data Privacy and Security
4.2.2 Bias and Fairness in AI Algorithms
4.3 Access and Equity in AI-Assisted Language Learning
4.3.1 The Digital Divide
4.3.2 Inclusive AI for Students with Disabilities
4.4 Teacher Readiness and AI Training
4.4.1 Professional Development for Educators
4.4.2 Overcoming Resistance to AI Adoption
4.5 Future Directions and Policy Considerations
4.5.1 Ethical AI Development
4.5.2 The Role of Policymakers and Institutions
REFERENCES
FOUNDATIONS OF AI IN ENGLISH LANGUAGE TEACHING (ELT)
1.1 What is Artificial Intelligence?
1.1.1 Definitions and Key Concepts
1.1.2 Types of AI
1.2 AI Technologies in Language Learning
1.2.1 Natural Language Processing (NLP)
1.2.2 Machine Learning and Adaptive Learning Systems
1.2.3 Speech Recognition and Speech Synthesis
1.2.4 Chatbots and Virtual Assistants in Language Learning
1.3 Theoretical Foundations of AI in Language Learning
1.3.1 SLA Theories and AI
1.3.2 AI and Personalized Learning Pathways
CHAPTER 2
PRACTICAL APPLICATIONS OF AI IN ENGLISH
LANGUAGE CLASSROOMS
2.1 Personalized Learning Environments
2.2 Automated Assessment and Feedback
2.3 AI-Powered Language Practice Tools
2.4.1 Overview of AI Tools for Teachers and Their Classroom Uses
2.5 Classroom Management and Administration
2.4 AI in Content Creation and Lesson Plannin
CHAPTER 3
CASE STUDIES AND REAL-WORLD EXAMPLES
3.1 Successful Implementations
3.1.1 Case Study 1: AI in a High School English Class
3.1.2 Case Study 2: AI in a University ESL Program
3.2 Lessons Learned
3.2.1 Best Practices for AI Implementation
3.2.2 Common Pitfalls and Challenges
3.2.3 Ethical Considerations in AI-Powered Language Learning
3.3 Teacher and Student Perspectives
3.3.1 Educator Perspectives
3.3.2 Student Perspectives
3.3.3 Balancing AI and Traditional Teaching
CHAPTER 4
CHALLENGES AND ETHICAL CONSIDERATIONS IN AIASSISTED LANGUAGE LEARNING
4.1 Technical Challenges in AI Integration
4.1.1 System Compatibility and Infrastructure Issues
4.1.2 Reliability and Accuracy of AI Tools
4.2 Ethical Considerations in AI-Driven Language Learning
4.2.1 Data Privacy and Security
4.2.2 Bias and Fairness in AI Algorithms
4.3 Access and Equity in AI-Assisted Language Learning
4.3.1 The Digital Divide
4.3.2 Inclusive AI for Students with Disabilities
4.4 Teacher Readiness and AI Training
4.4.1 Professional Development for Educators
4.4.2 Overcoming Resistance to AI Adoption
4.5 Future Directions and Policy Considerations
4.5.1 Ethical AI Development
4.5.2 The Role of Policymakers and Institutions
REFERENCES
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